Position estimation of robotic mobile nodes in wireless testbed using GENI

Abstract

We present a low complexity experimental RFbased indoor localization system based on the collection and processing of WiFi RSSI signals and processing using a RSSbased multi-lateration algorithm to determine a robotic mobile node's location. We use a real indoor wireless testbed called wiLab.t that is deployed in Zwijnaarde, Ghent, Belgium. One of the unique attributes of this testbed is that it provides tools and interfaces using Global Environment for Network Innovations (GENI) project to easily create reproducible wireless network experiments in a controlled environment. We provide a low complexity algorithm to estimate the location of the mobile robots in the indoor environment. In addition, we provide a comparison between some of our collected measurements with their corresponding location estimation and the actual robot location. The comparison shows an accuracy between 0.65 and 5 meters.

Optimal Resource Allocation for Cellular Networks with MATLAB Instructions

“…The resource allocation solution proposed in [1,2] is generic and can be applied to many systems, e.g. multi-cast network [101], ad-hoc network [?, 102] and WiFi network [103][104][105]. Some successful usages of that solution for machine to machine (M2M) communications were conducted in [106][107][108][109][110] where optimization is with latency constraints rather than bandwidth constraints.…”